Applied Computational Fluid Dynamics with Simcenter STAR-CCM+

Computational fluid dynamics (CFD) is a cornerstone of modern engineering, allowing you to predict how liquids and gases interact with physical designs. This course provides a clear entry point into simulating flow physics and heat transfer without getting lost in overly complex mathematical theory. You will transition from understanding basic fluid mechanics to confidently configuring, running, and analyzing professional-grade CFD simulations. By learning how to set up geometry, generate high-quality meshes, and select appropriate physics models, you will be able to generate reliable engineering insights and optimize thermal performance. What you'll learn: - Understand the core principles of fluid dynamics, heat transfer, and numerical discretization. - Configure simulation geometry and apply automated meshing techniques in Simcenter STAR-CCM+. - Select appropriate physics models, boundary conditions, and turbulence closures for different flow regimes. - Analyze simulation convergence, monitor key engineering metrics, and validate your results. - Apply modern verification and validation (V&V) practices to ensure simulation accuracy and reliability. - Interpret post-processing data to make informed design decisions and optimize thermal performance. The course begins with foundational definitions of fluid behavior and numerical discretization before guiding you through the step-by-step workflow of setting up a simulation. You will progress through written case studies detailing internal flows, external aerodynamics, and heat transfer phenomena. This course is designed for aspiring thermal engineers, mechanical designers, and students who are new to simulation software. No prior CFD experience is required, though a basic understanding of fluid mechanics is helpful. Start reading today to unlock the power of computational fluid dynamics in your engineering projects.